Triple

T16253407
Position Surface form Disambiguated ID Type / Status
Subject Terrassa campus E394569 entity
Predicate hosts P186 FINISHED
Object ESCAC E394570 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ESCAC | Statement: [Terrassa campus, hosts, ESCAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESCAC
Context triple: [Terrassa campus, hosts, ESCAC]
  • A. ESCAC chosen
    ESCAC is a renowned Spanish film and audiovisual school known for training directors, screenwriters, and other cinema professionals.
  • B. ECASA
    ECASA is a Cuban state-owned company responsible for managing and operating the country’s civil airports and air terminals.
  • C. ECCAS
    ECCAS (Economic Community of Central African States) is a regional economic community that promotes economic integration, peace, and development among Central African countries.
  • D. ESC
    ESC is the commonly used abbreviation for the European Social Charter, a Council of Europe treaty that safeguards social and economic human rights.
  • E. ESC
    ESC is the three-letter IATA airport code assigned to Delta County Airport in Michigan, United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24598c9488190a92df7d8b1824724 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee788f88190b16d267f1eee6d62 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.